most citedDetecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026★ 1 cited

Solidity Meets LLMs: A Transformer-Based Approach to Smart Contract Vulnerability Detection

Djamel Eddine Hakim Ghorab, Farid Mokhati, Mostafa Anouar Ghorab

The growing adoption of blockchain technologies, particularly the Ethereum platform, has amplified the critical role of smart contracts in decentralized applications. However, the…

cs.CR2026

Improving Service Availability in KubeEdge-Based Architectures Using Lightweight Intrusion Detection

Harrol Ndjeudji Kuibou, Mostafa Anouar Ghorab, Mohamed Aymen Saied

The increasing adoption of the Internet of Things (IoT) and cloud computing has accelerated the evolution of edge computing paradigms [1]. Industry forecasts estimate that the numb…

cs.SE2026

Kubernetes Misconfigurations in the Wild: Taxonomy, Evolution, and Automated Repair with Large Language Models

Mostafa Anouar Ghorab, Ahmad Abdel Latif, Mohamed Aymen Saied

Kubernetes is widely used to orchestrate cloud-native applications, yet its declarative configuration model often introduces security misconfigurations that threaten system reliabi…

cs.CL2026★ 1 cited

Towards Secure Cloud-Native Computing: Unveiling Kubernetes Misconfigurations with Large Language Models

Mostafa Anouar Ghorab, Mohamed Aymen Saied

In the rapidly evolving landscape of cloud-native computing, Organizations are increasingly adopting infrastructure models that emphasize scalability, flexibility, and efficiency.…

cs.CR2024★ 1 cited

Detecting Android Malware: From Neural Embeddings to Hands-On Validation with BERTroid

Meryam Chaieb, Mostafa Anouar Ghorab, Mohamed Aymen Saied

As cyber threats and malware attacks increasingly alarm both individuals and businesses, the urgency for proactive malware countermeasures intensifies. This has driven a rising int…